Google AI Platform vs GraphLab Create

Google AI Platform vs GraphLab Create: What are the differences?

Google AI Platform: Create your AI applications once, then run them easily on both GCP and on-premises. Makes it easy for machine learning developers, data scientists, and data engineers to take their ML projects from ideation to production and deployment, quickly and cost-effectively; GraphLab Create: Machine learning platform that enables data scientists and app developers to easily create intelligent apps at scale. Building an intelligent, predictive application involves iterating over multiple steps: cleaning the data, developing features, training a model, and creating and maintaining a predictive service. GraphLab Create does all of this in one platform. It is easy to use, fast, and powerful.

Google AI Platform and GraphLab Create can be categorized as "Machine Learning as a Service" tools.

Some of the features offered by Google AI Platform are:

• “No lock-in” flexibility
• Supports Kubeflow
• Supports TensorFlow

On the other hand, GraphLab Create provides the following key features:

• Analyze terabyte scale data at interactive speeds, on your desktop.
• A Single platform for tabular data, graphs, text, and images.
• State of the art machine learning algorithms including deep learning, boosted trees, and factorization machines.